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Latest papers without code

GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra

5 Mar 2021

We propose GraphMineSuite (GMS): the first benchmarking suite for graph mining that facilitates evaluating and constructing high-performance graph mining algorithms.

GRAPH MINING

PSpan:Mining Frequent Subnets of Petri Nets

28 Jan 2021

This paper proposes for the first time an algorithm PSpan for mining frequent complete subnets from a set of Petri nets.

GRAPH MINING

An Efficient Graph Mining System for Large Patterns

19 Jan 2021

In this work, we propose Angelica, a single-machine graph pattern mining system aiming at supporting large patterns.

GRAPH MINING

Investigating ADR mechanisms with knowledge graph mining and explainable AI

16 Dec 2020

We propose to mine knowledge graphs for identifying biomolecular features that may enable reproducing automatically expert classifications that distinguish drug causative or not for a given type of ADR.

GRAPH MINING KNOWLEDGE GRAPHS

Pattern Morphing for Efficient Graph Mining

8 Dec 2020

Existing graph mining techniques including both custom graph mining applications and general-purpose graph mining systems, develop efficient execution plans to speed up the exploration of the given query patterns that represent subgraph structures of interest.

GRAPH MINING

How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers

19 Oct 2020

For end-to-end efficiency, unlike previous work that assumes random hyperparameter tuning, which over-emphasizes the tuning time, we propose to evaluate with a bandit hyperparameter tuning strategy.

GRAPH MINING

Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods

18 Aug 2020

In this work, we formally establish that two recurring characteristics of real-world graphs, namely heavy-tailed degree distributions and large clustering coefficients, imply the existence of substantially large vertex neighborhoods with high edge-density.

GRAPH MINING

TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection

16 Aug 2020

These properties of social networks which are known as 5'Vs of big data has led to many unique and enlightenment algorithms and techniques applied to large social networking datasets and data streams.

COMMUNITY DETECTION GRAPH MINING NAMED ENTITY RECOGNITION TRANSFER LEARNING

Adversarial Directed Graph Embedding

9 Aug 2020

To capture the directed edges between nodes, existing methods mostly learn two embedding vectors for each node, source vector and target vector.

GRAPH EMBEDDING GRAPH MINING

Efficient and near-optimal algorithms for sampling connected subgraphs

23 Jul 2020

(3) A near-optimal algorithm for $\epsilon$-uniform graphlet sampling.

GRAPH MINING